datadog

Use when building, running, or debugging Docker containers — Dockerfile creation, compose configurations, image optimization, volume management, and container…

Use when performing git operations — branching, rebasing, stashing, bisecting, resolving merge conflicts, or recovering lost commits.

Use when reviewing PRs, checking CI status, or interacting with GitHub via MCP.

Use when querying, managing, or debugging PostgreSQL databases — schema design, query optimization, migrations, indexing, and connection pooling.

Use when interacting with Redis — caching strategies, pub/sub, rate limiting, session storage, queue management, and debugging key expiration.

Audits web interfaces for WCAG compliance — semantic HTML, ARIA, keyboard navigation, color contrast, screen reader compatibility, and accessible forms.

Identifies critical bugs in a codebase and implements targeted fixes with working code — root cause, minimal change, regression tests.

Removes dead code, eliminates duplication, refactors messy patterns, and applies consistent formatting across code and documentation — safely, with tests…

Breaks down complex technical concepts in beginner-friendly ways with analogies, practical examples, and understanding checks.

Monitors context window capacity, routes tasks to minimal member set, and triggers session triage.

Detects AI providers, translates skill files to provider-native formats, and validates conventions.

Teaches systematic debugging methodology — reproduction, isolation, hypothesis formation, and independent problem-solving — rather than handing out quick fixes.